The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant. To make the data systematically […]
Mind the Gap: AI-Driven Data and Analytics Disruption
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]
Why and How to Unlock Proprietary Data to Drive AI Success
These days, virtually every company is using AI – and in most cases, they’re using it through off-the-shelf AI technologies, like Copilot, that offer the same capabilities to every customer. This begs the question: How can a business actually stand out in the age of AI? Rather than just adopting AI as a way of keeping […]
Unlocking Unstructured Data: Fueling AI with Insights
IDC reports that around 90% of the data in the digital world is unstructured. This encompasses data like PDFs, PowerPoints, emails and images, all containing valuable information that traditional structured databases can’t gather. As artificial intelligence (AI) becomes more widespread, the importance of unstructured data grows. Businesses now face the challenge of organizing and utilizing these diverse data sources so AI models can fully leverage their potential, which is much easier said than done. […]
Deconstructing Knowledge Graphs and Large Language Models
While knowledge graphs (KGs) and large language models (LLMs) each offer distinct strengths, their full potential is most effectively realized when synergized in combination. LLMs bring powerful generative capabilities with broad understanding of language but lack structured context and factual grounding needed for consistent accuracy and reasoning. Knowledge graphs, on the other hand, provide a […]
Achieving Successful Outcomes: Why AI Must Be Considered an Extension of Data Products
In many organizations, AI exists as a secret weapon. It’s essentially locked away in a box, brought out to work on a limited use case, and then put back into the box. However, using AI in this limited fashion eliminates the huge potential impact that AI can have across one’s business. This is where DataOps, short […]
Protecting Machine Learning Systems in the GenAI Era
As GenAI and machine learning (ML) become more widespread across industries, their high levels of adoption have created a major challenge: security. While every organization and IT team has its own security protocols and frameworks, many are starting to realize that traditional approaches aren’t enough when it comes to protecting themselves from the potential threats […]
Why Your Chatbot Is Underperforming – And the Must-Have Capabilities to Turn It Around
More and more organizations are adopting generative AI (GenAI)-powered chatbots that have the power to streamline operations by automating repetitive tasks to improve efficiency and lead to faster, data-driven decisions. The capabilities of these chatbots to achieve greater accuracy are continually expanding, raising the standard for them to deliver more precise outputs that effectively harness […]
What Is a Large Language Model (LLM)?
A large language model (LLM) is an advanced artificial intelligence system that understands, processes, and generates human-like content. LLMs train on vast amounts of big data, allowing them to recognize complex patterns and structures to produce coherent, contextually relevant responses to a wide array of prompts. At their core, LLMs utilize cutting-edge natural language processing (NLP), which is made possible through deep learning techniques. Consequently, LLMs […]
From Parchment to Python: How Smart Data Evolved to What It Is Today
Data used to be a physical thing, stored on paper and in ledgers. Security was also a physical thing, with valuable data protected by actual locks and guards. Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the […]